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- Title
Ant Colony System for Energy Consumption Optimization in Mobile IoT Networks.
- Authors
Zhao, Hong-Yan; Wang, Jia-Chen; Guan, Xin; Wang, Zhi-Hong; He, Yong-Hui; Xie, Hong-Lin
- Abstract
In this paper, a new algorithm is proposed for computing the node-disjoint optimal transmission energy consumption route for coded cooperative mobile IoT networks. Inspired by the potential benefits user cooperation can provide, we incorporate user cooperation to the mobile ad-hoc multi-hop IoT networks. Our results include a novel ant colony system-based node-disjoint energy-efficient routing algorithm. Ant colony system can approximate the optimal route by local information and is thus very suitable for mobile IoT network environment. In particular, ant algorithm makes history-sensitive choice and thus can significantly outperform the greedy algorithm. In addition, it can efficiently handle the case of multiple sources and multiple destinations. For a large IoT network, we investigate the multi-scale ant colony system and when compared to Dijkstra algorithm, such an algorithm usually shortens the runtime by a factor of several hundred.
- Subjects
ENERGY consumption; ANT algorithms; GREEDY algorithms; ALGORITHMS
- Publication
Journal of Circuits, Systems & Computers, 2020, Vol 29, Issue 9, pN.PAG
- ISSN
0218-1266
- Publication type
Article
- DOI
10.1142/S0218126620501509